scholarly journals Aufhocker : Quand l’identité Alien d’un de nos corps-fantômes se porte sur le dos

2021 ◽  
Vol 41 ◽  
pp. 85-99
Author(s):  
Fabio Armand ◽  
Keyword(s):  
Human Brain ◽  
Left Hemisphere ◽  
Recent Advances ◽  
The Alps

"Within the framework of the most recent advances in the BRAINCUBUS model of neurocognitive anthropology, we will analyze the transcultural narrative motif of the Aufhocker (F472. Huckauf. A goblin which jumps on one’s back). From the Alps to the Himalayas, we will track down experiential encounters with numerous supernatural beings who jump on the backs of humans and are carried away with all their crushing heaviness. We recognize these supernatural beings as neurally real phantom-body connectomes, generated by the activation of the Temporo-Parietal Junction in the left hemisphere of the human brain."

scholarly journals Ex vivo diffusion MRI of the human brain: Technical challenges and recent advances

2018 ◽  
Vol 32 (4) ◽  
pp. e3941 ◽  
Author(s):  
Alard Roebroeck ◽  
Karla L. Miller ◽  
Manisha Aggarwal
Keyword(s):  
Human Brain ◽  
Diffusion Mri ◽  
Ex Vivo ◽  
Recent Advances ◽  
Technical Challenges

Recent advances in electrical recording from the human brain

Nature ◽  
1975 ◽  
Vol 253 (5491) ◽  
pp. 401-407 ◽  
Author(s):  
D. Regan
Keyword(s):  
Human Brain ◽  
Electrical Recording ◽  
Recent Advances

scholarly journals Play in Predictive Minds: A Cognitive Theory of Play

2021 ◽  
Author(s):  
Marc Malmdorf Andersen ◽  
Andreas Roepstorff
Keyword(s):  
Human Brain ◽  
Computational Neuroscience ◽  
Cognitive Theory ◽  
Cognitive Systems ◽  
Human Beings ◽  
Relative Complexity ◽  
Recent Advances ◽  
Sweet Spots

Play occurs universally in human beings, and it has been a subject of considerable academic scrutiny for over 100 years. In this article, we propose a cognitive theory of play building on recent advances in cognitive and computational neuroscience that portray the human brain as an advanced prediction machine. Central to the theory is the idea that when an agent is free from the demands of certain competing cognitive systems, it may deliberately seek out and create surprising situations that gravitate towards sweet-spots of relative complexity. We argue that this framework can explain why humans play and why playing is so fun and rewarding.

Neurocontrol: Recent advances and links with the human brain

AI & Society ◽  
1997 ◽  
Vol 11 (1-2) ◽  
pp. 63-75
Author(s):  
Dimitri C. Dracopoulos
Keyword(s):  
Human Brain ◽  
Recent Advances

8. Acting

2016 ◽  
pp. 95-105
Author(s):  
Richard Passingham
Keyword(s):  
Human Brain ◽  
Language Learning ◽  
Left Hemisphere ◽  
Human Evolution ◽  
Cerebral Hemisphere ◽  
Spoken Language ◽  
Learning Skills ◽  
Hemisphere Dominance ◽  
Manual Skills ◽  
Hemisphere Specialization

Why is there a relation between handedness and the cerebral hemisphere that is specialized for language? How is it that we can learn the violin? Why can’t we tickle ourselves? ‘Acting’ considers these questions and in doing so, looks at right-handedness, left hemisphere specialization for gestures, spoken language, learning skills, and the sensory consequences of actions. There is a relation between right-handedness and left hemisphere dominance for speech. It is likely that in human evolution the tendency to right-handedness developed before speech. Both vocal and manual skills depend on cerebellar mechanisms, and in the human brain the cerebellum has expanded in line with the neocortex.

scholarly journals Neurolinguistics and aphasia

2020 ◽  
Vol 2 ◽  
pp. 19-25
Author(s):  
Fidan Abiyeva ◽  
Keyword(s):  
Human Brain ◽  
Left Hemisphere ◽  
Language Production ◽  
Language Disorders ◽  
Short History ◽  
Language And Communication ◽  
History Of ◽  
The Relationship ◽  
The Brain

This article deals with the relationship between the language and human brain. Special attention was given to Neurolinguistics which studies the relationship between the human brain and the language. The article tries to explore how the brain understands and produces the language. Language disorders, especially Broca`s aphasia and Wernicke`s aphasia are spoken about and a lot of important questions about language production and perception are attempted to be answered. It provides a comprehensive explanation of the views to Neurolinguistics and gives short history of the investigation of the left hemisphere and its role in language and communication. The article is intended to anybody who wants to acquire knowledge about the relationship between language and brain, Neurolinguistics and Aphasia.

scholarly journals Lessons from Neuroscience and Experimental Psychology for a Partnership Society

2015 ◽  
Vol 2 (2) ◽  
Author(s):  
Daniel Levine
Keyword(s):  
Neural Network ◽  
Human Brain ◽  
Experimental Psychology ◽  
Network Modeling ◽  
Neural Network Modeling ◽  
Brain Functioning ◽  
Recent Advances

This century has seen explosive growth in our knowledge about the human brain and mind due to recent advances in neuroscience, experimental psychology, and neural network modeling, and convergence between those fields. The scientific findings that have emerged confirm that humans have evolved for partnership and cooperation at least as much as they have evolved for domination and competition. Moreover, the findings suggest that partnership interactions promote optimal brain functioning.

scholarly journals Recent advances in understanding object recognition in the human brain: deep neural networks, temporal dynamics, and context

F1000Research ◽  
2020 ◽  
Vol 9 ◽  
pp. 590
Author(s):  
Susan G. Wardle ◽  
Chris I. Baker
Keyword(s):  
Neural Networks ◽  
Object Recognition ◽  
Human Brain ◽  
Spatial Organization ◽  
Deep Neural Networks ◽  
Temporal Dynamics ◽  
Brain Regions ◽  
Visual Features ◽  
Recent Advances ◽  
Ambient Lighting

Object recognition is the ability to identify an object or category based on the combination of visual features observed. It is a remarkable feat of the human brain, given that the patterns of light received by the eye associated with the properties of a given object vary widely with simple changes in viewing angle, ambient lighting, and distance. Furthermore, different exemplars of a specific object category can vary widely in visual appearance, such that successful categorization requires generalization across disparate visual features. In this review, we discuss recent advances in understanding the neural representations underlying object recognition in the human brain. We highlight three current trends in the approach towards this goal within the field of cognitive neuroscience. Firstly, we consider the influence of deep neural networks both as potential models of object vision and in how their representations relate to those in the human brain. Secondly, we review the contribution that time-series neuroimaging methods have made towards understanding the temporal dynamics of object representations beyond their spatial organization within different brain regions. Finally, we argue that an increasing emphasis on the context (both visual and task) within which object recognition occurs has led to a broader conceptualization of what constitutes an object representation for the brain. We conclude by identifying some current challenges facing the experimental pursuit of understanding object recognition and outline some emerging directions that are likely to yield new insight into this complex cognitive process.

Recent Advances in High Dispersion Spectroscopy of Globular Cluster Stars

1988 ◽  
Vol 132 ◽  
pp. 525-530
Author(s):  
Raffaele G. Gratton
Keyword(s):  
Globular Cluster ◽  
Globular Clusters ◽  
High Dispersion ◽  
Photographic Material ◽  
Recent Advances ◽  
Metal Abundances ◽  
Ccd Detectors ◽  
Major Progress

The use CCD detectors has allowed a major progress in abundance derivations for globular cluster stars in the last years. Abundances deduced from high dispersion spectra now correlates well with other abundance indicators. I discuss some problems concerning the derivation of accurate metal abundances for globular clusters using high dispersion spectra from both the old photographic and the most recent CCD data. The discrepant low abundances found by Cohen (1980), from photographic material for M71 giants, are found to be due to the use of too high microturbulences.

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